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A Soft,Fast and Versatile Electrohydraulic Gripper with Capacitive Object Size Detection
Authors:Zachary Yoder  Daniela Macari  Gavriel Kleinwaks  Ingemar Schmidt  Eric Acome  Christoph Keplinger
Affiliation:1. Robotic Materials Department, Max Planck Institute for Intelligent Systems, Heisenbergstraße 3, 70569 Stuttgart, Germany;2. Paul M. Rady Department of Mechanical Engineering, University of Colorado, Boulder, 1111 Engineering Drive, Boulder, CO, 80309 USA
Abstract:Soft robotic grippers achieve increased versatility and reduced complexity through intelligence embodied in their flexible and conformal structures. The most widely used soft grippers are pneumatically driven; they are simple and effective but require bulky air compressors that limit their application space and external sensors or computationally expensive vision systems for pick verification. In this study, a multi-material architecture for self-sensing electrohydraulic bending actuators is presented that enables a new class of highly versatile and reconfigurable soft grippers that are electrically driven and feature capacitive pick verification and object size detection. These electrohydraulic grippers are fast (step input results in finger closure in 50 ms), draw low power (6.5 mW per finger to hold grasp), and can pick a wide variety of objects with simple binary electrical control. Integrated high-voltage driving electronics are presented that greatly increase the application space of the grippers and make them readily compatible with commercially available robotic arms.
Keywords:artificial muscles  capacitive sensing  electrostatic actuators  grippers  soft robotics
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